How Do I Use the thinkorswim Normalize Function to Compare Indicators Effectively?

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Hey everyone,

So I’ve been messing around with the thinkorswim normalize function lately, and I’m kinda stuck. Like, I get the basic idea—it scales indicators to a common range so you can compare them side by side. But I’m not entirely sure how to use it *effectively*.

For example, if I’m comparing RSI and MACD, do I just slap the thinkorswim normalize function on both and call it a day? Or is there more to it?

Also, does it mess with the original indicator values? I don’t wanna lose the accuracy of my signals, ya know?

Any tips or examples would be super helpful. Thanks in advance!

P.S. If anyone has a script or a quick walkthrough, that’d be awesome. I’m still getting the hang of this platform.
The thinkorswim normalize function is super handy for comparing indicators like RSI and MACD on the same scale. But yeah, it’s not just about slapping it on and calling it a day. You gotta make sure the indicators you’re comparing actually make sense together. Like, RSI and MACD are different beasts—one’s momentum, the other’s trend. Normalizing them helps visually, but don’t rely on it blindly for signals.

Also, it doesn’t mess with the original values—it just scales them for comparison. If you’re worried about accuracy, maybe test it on a paper trading account first.

For scripts, check out the thinkorswim community library. Tons of examples there!
Hey! I’ve been using the thinkorswim normalize function for a while now. It’s great for overlaying indicators, but you gotta be careful with how you interpret them. For example, RSI and MACD have different ranges naturally, so normalizing them can make it easier to spot divergences or confirmations.

One tip: don’t normalize everything. Sometimes it’s better to keep indicators in their original form if you’re using them for specific signals.

If you’re looking for a walkthrough, the thinkorswim YouTube channel has some solid tutorials.
Normalizing indicators is cool, but it’s not a magic fix. The thinkorswim normalize function just scales them to fit a 0-100 range or whatever you set. It’s useful for visual comparison, but it won’t change the underlying behavior of the indicators.

For RSI and MACD, I’d say normalize them if you’re trying to spot correlations or divergences. But don’t expect it to improve accuracy—it’s more about making the chart cleaner.

Check out the thinkorswim forums for scripts. People share some pretty neat stuff there.
I feel you on the confusion with the thinkorswim normalize function. It’s one of those things that sounds simple but can get tricky.

For RSI and MACD, I’d recommend normalizing them separately first and then seeing how they interact. Sometimes it helps to add a moving average to the normalized values to smooth things out.

And no, it doesn’t mess with the original values. It’s just a scaling tool.

If you’re into coding, the thinkorswim script reference guide is a lifesaver.
The thinkorswim normalize function is a game-changer for comparing indicators, but it’s not a one-size-fits-all solution. For RSI and MACD, it can help you see overlaps or divergences more clearly, but you still need to understand what each indicator is telling you.

One thing to watch out for: if you normalize too many indicators, your chart can get cluttered real quick.

For scripts, try the thinkorswim shared scripts section. Lots of gems there.
Normalizing indicators is like putting them on the same playing field. The thinkorswim normalize function is great for that, but it’s not gonna magically make RSI and MACD work together perfectly.

I’d say use it to spot patterns or confirmations, but don’t rely on it for entry/exit signals.

If you’re stuck, the thinkorswim community is super active. Someone’s probably already posted a script for what you’re trying to do.
Wow, thanks for all the replies, everyone! This is super helpful. I tried normalizing RSI and MACD like some of you suggested, and it definitely makes the chart cleaner. I’m still getting the hang of spotting divergences, but it’s starting to make sense.

I also checked out the thinkorswim community library and found a script that overlays normalized indicators. Gonna test it out in paper trading first, though.

One quick follow-up: does anyone use the thinkorswim normalize function with volume-based indicators? Like, does it work well with OBV or volume-weighted stuff? Just curious if it’s worth trying.

Thanks again!
The thinkorswim normalize function is awesome for comparing apples to oranges—like RSI and MACD. But remember, it’s just scaling the values, not changing the logic behind the indicators.

One thing I do is normalize RSI and MACD, then add a histogram to see the difference between them. It’s a neat way to spot divergences.

For scripts, the thinkorswim library is your best bet.
I’ve been using the thinkorswim normalize function for a while, and it’s super helpful for comparing indicators. But like others said, it’s not a cure-all.

For RSI and MACD, I’d normalize them and then look for crossovers or divergences. It’s not perfect, but it can give you some interesting insights.

And no, it doesn’t mess with the original values. It’s just a visual aid.

Check out the thinkorswim learning center for more tips.



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